Literature DB >> 25562725

CYP2D6 phenotype-specific codeine population pharmacokinetics.

Oscar A Linares, Jeffrey Fudin, William E Schiesser, Annemarie L Daly Linares, Raymond C Boston.   

Abstract

Codeine's metabolic fate in the body is complex, and detailed quantitative knowledge of it, and that of its metabolites is lacking among prescribers. We aimed to develop a codeine pharmacokinetic pathway model for codeine and its metabolites that incorporates the effects of genetic polymorphisms. We studied the phenotype-specific time courses of plasma codeine, codeine-6-glucoronide, morphine, morphine-3-glucoronide, and morphine-6-glucoronide. A codeine pharmacokinetic pathway model accurately fit the time courses of plasma codeine and its metabolites. We used this model to build a population pharmacokinetic codeine pathway model. The population model indicated that about 10% of a codeine dose was converted to morphine in poor-metabolizer phenotype subjects. The model also showed that about 40% of a codeine dose was converted to morphine in EM subjects, and about 51% was converted to morphine in ultrarapid-metabolizers. The population model further indicated that only about 4% of MO formed from codeine was converted to morphine-6-glucoronide in poor-metabolizer phenotype subjects. The model also showed that about 39% of the MO formed from codeine was converted to morphine-6-glucoronide in extensive-metabolizer phenotypes, and about 58% was converted in ultrarapid-metabolizers. We conclude, a population pharmacokinetic codeine pathway model can be useful because beyond helping to achieve a quantitative understanding the codeine and MO pathways, the model can be used for simulation to answer questions about codeine's pharmacogenetic-based disposition in the body. Our study suggests that pharmacogenetics for personalized dosing might be most effectively advanced by studying the interplay between pharmacogenetics, population pharmacokinetics, and clinical pharmacokinetics.

Entities:  

Keywords:  CYP2C8; CYP2D6; CYP3A4; clinical pharmacokinetics; clinical pharmacology; codeine; morphine; pharmacogenetics; pharmacogenomics; population pharmacokinetics

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Substances:

Year:  2015        PMID: 25562725     DOI: 10.3109/15360288.2014.997854

Source DB:  PubMed          Journal:  J Pain Palliat Care Pharmacother        ISSN: 1536-0288


  3 in total

Review 1.  Personalized medicine: Genetic risk prediction of drug response.

Authors:  Ge Zhang; Daniel W Nebert
Journal:  Pharmacol Ther       Date:  2017-02-14       Impact factor: 12.310

2.  Preoperative Genetic Testing and Personalized Medicine: Changing the Care Paradigm.

Authors:  Rodney A Gabriel; Jesse M Ehrenfeld; Richard D Urman
Journal:  J Med Syst       Date:  2017-10-17       Impact factor: 4.460

Review 3.  Genomics and electronic health record systems.

Authors:  Lucila Ohno-Machado; Jihoon Kim; Rodney A Gabriel; Grace M Kuo; Michael A Hogarth
Journal:  Hum Mol Genet       Date:  2018-05-01       Impact factor: 6.150

  3 in total

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